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v0.0.10: Prepare release v.0.0.10 (#11)
Changelog v0.0.10
New Release Highlights
Improvements
-
Unified Graph Descriptors and Fingerprints
Combined the functionalities of graph descriptors and graph fingerprints into a cohesive module, simplifying the codebase and enhancing efficiency in graph property calculations and structural comparisons. -
Parallel Processing for Descriptor Computation
Introduced parallel processing usingjoblibto handle graph descriptor computation across multiple entries simultaneously. This significantly reduces runtime on multi-core systems, particularly beneficial for large datasets. Users can specify the number of parallel jobs (n_jobs) and verbosity levels for flexible performance tuning. -
MØD Rule Application (Preliminary)
Added preliminary support for applying MØD (Modeling Organic Databases) rules within the graph transformation pipeline. While not fully tested due to dependency conflicts in conda, this feature provides a framework for chemical rule applications in future updates.
Bug Fixes
- Adapted
MolToGraphfor Unsanitized RDKit Molecules
UpdatedMolToGraphto handle unsanitized RDKitMolobjects, allowing more flexibility with RDKit molecule inputs without requiring pre-sanitization. This fix addresses compatibility issues and expands support for RDKit functionalities within the graph processing pipeline.